Mr. Pramod Kumar Voola

Pramod Kumar Voola is an Engineering Manager with extensive experience in Life Sciences Clinical Trials, specializing in data engineering, automation testing, and AI. Based in New York, he has a proven track record in managing critical healthcare applications like eCOA platforms, enhancing patient safety and data accuracy. With skills in leadership, ethical AI advocacy, and mobile automation, he excels in driving innovations and managing high-performing teams. Pramod is currently pursuing a Data Science Certification from MIT and holds an AWS Cloud Practitioner credential. His career includes notable roles at Medidata Solutions, Capital One, and Cognizant Technology Solutions. Pramod Kumar Voola is a results-driven Engineering Manager with extensive experience in the Life Sciences Clinical Trials industry, demonstrating expertise in leading high-performing teams in Data Engineering, Test Engineering, and Automation Testing to develop and deploy innovative solutions that enhance patient safety, compliance, and data accuracy. With a deep-rooted understanding of healthcare applications, he has played a pivotal role in managing critical eCOA (electronic Clinical Outcome Assessment) platforms, contributing to advancements in medical research and public health. Currently, he is leveraging AI and data-driven technologies to drive transformative innovations that impact healthcare outcomes for various clients. Pramod excels in leadership and people management, fostering team growth and empowerment while aligning individual goals with organizational objectives. His technical leadership extends to spearheading GenAI initiatives, including clinician-based chatbots designed to improve patient-clinician interactions. An advocate for responsible AI, he actively contributes to his organization’s Ethical AI group, ensuring the development and deployment of AI solutions adhere to ethical standards. He has led mobile automation efforts, streamlining testing strategies and increasing efficiency, while also effectively managing conflicts within cross-functional teams through collaboration and communication. His expertise in data engineering includes building scalable data streaming pipelines using technologies like Airflow, Snowpark, Iceberg, and Apache Spark to ensure data quality and compliance. With an ongoing pursuit of a Data Science Certification from MIT, Pramod has expanded his proficiency in Python, data visualization, and machine learning techniques, equipping himself with advanced analytical skills. His professional journey includes his current role at Medidata Solutions, where he has led the development of eCOA compliance reports, architected data streaming solutions, and spearheaded AI-driven capabilities to support clinical decision-making. Prior to this, he served as a Principal Associate at Capital One Financial Services, where he was responsible for designing and implementing automation testing strategies, performance testing, defect management, and risk assessment, ensuring adherence to industry regulations. During his tenure at Cognizant Technology Solutions, he managed automation testing for banking applications, optimized testing frameworks, led teams, and maintained strong client relationships. His earlier roles at Ness Technologies involved leading testing efforts for Standard & Poor’s Ratings application, implementing automation testing using TOSCA, performing API testing, database validation, and enhancing application performance through performance testing. He also played a crucial role in coordinating nearshore and offshore teams, ensuring seamless execution of projects. As a Programmer at Cognizant Technology Solutions, he worked on the FACETS product for healthcare claims processing and enrollment, focusing on requirement analysis, manual testing, and defect management. His educational background includes a Bachelor of Science in Computer Science from Osmania University, complemented by certifications such as AWS Cloud Practitioner and multiple LinkedIn Learning certifications in Python, Data Science, and Machine Learning. With an exceptional ability to navigate complex technical landscapes, mentor teams, and drive AI-led innovations, Pramod remains at the forefront of engineering leadership, shaping the future of data-driven healthcare solutions while continuously enhancing his expertise in AI, cloud computing, and automation to make meaningful contributions to the industry.

• machine learning
• Machine Learning
• Clinical Data Analytics
• Artificial Intelligence
• Sentiment Analysis
• Test Automation
• Software Development
• Risk assessment
• Machine Learning Techniques
• Natural Language Processing (NLP)
• Reporting
• Testing
• Snowflake
• NLP
• Text Classification
• Object-Oriented Programming
• Defect Management
• Software Architecture
• Patient Safety
• Generative AI
• Large Language Models
• Data Streaming
• Mobile Automation
• Mobile Automation
• Test Driven Development
• eCOA Platforms
• Data Quality
• Clinical Decision-Making
• Strong Client Relationships
• Large Language Models (LLM)
• Generative AI
• Amazon Q
• Amazon Bedrock
• Amazon SageMaker
• KILT
• Spark NLP
• PySpark
• Data Analysis
• Apache Flink
• Apache Airflow
• Snowflake
• Data Streaming
• Visual Analytics
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